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Related Experiment Video

Updated: May 8, 2025

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Automated Assessment of Pelvic Longitudinal Rotation Using Computer Vision in Canine Hip Dysplasia Screening.

Pedro Franco-Gonçalo1,2,3, Pedro Leite4, Sofia Alves-Pimenta2,3,5

  • 1Department of Veterinary Science, University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal.

Veterinary Sciences
|December 27, 2024
PubMed
Summary
This summary is machine-generated.

Pelvic rotation in canine hip dysplasia (CHD) screening significantly impacts hip scoring. This study developed a computer vision model to accurately measure obturator foramina areas, improving diagnostic precision for CHD.

Keywords:
asymmetry in obturator foramina areascanine hip dysplasiacomputer vision modelpelvic rotation

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Area of Science:

  • Veterinary Radiology
  • Medical Imaging
  • Computer Vision

Background:

  • Accurate positioning in ventrodorsal hip extended (VDHE) view is crucial for canine hip dysplasia (CHD) screening.
  • Pelvic rotation can lead to inaccurate CHD scoring and affect breeding decisions.

Purpose of the Study:

  • To assess the association between pelvic rotation and asymmetry in obturator foramina areas (AOFAs).
  • To develop a computer vision model for automated AOFA measurement to improve CHD screening accuracy.

Main Methods:

  • Radiographic analysis of 203 images to correlate pelvic rotation (iliac wing and obturator foramina widths asymmetry) with AOFAs.
  • Development and validation of a computer vision model using 312 radiographs for automated AOFA measurement.
  • Segmentation accuracy assessed using Dice score and Intersection over Union; reliability evaluated with Intraclass Correlation Coefficient (ICC).

Main Results:

  • A significant association was found between pelvic rotation and AOFA, with asymmetry in obturator foramina widths (AOFW) showing a strong correlation (R² = 0.92).
  • The automated model achieved high segmentation accuracy (Dice = 0.96, IoU = 0.93) and excellent reliability (ICC = 0.99).
  • A threshold of 50.46 mm² effectively differentiated acceptable from excessive pelvic rotation.

Conclusions:

  • Automated AOFA measurement using computer vision shows high accuracy and reliability for assessing pelvic rotation in CHD screening.
  • The developed model can aid in standardizing radiographic positioning and improving the precision of CHD scoring.
  • Further data augmentation is expected to enhance model precision and clinical utility.